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Business Analyst, Payment Risk Analytics | Amazon 2022 | IN, KA, Bangalore
Amazon
Vacancies & Eligibility Criteria:
Post | Vacancy | Age | Qualification | Pay |
---|---|---|---|---|
Business Analyst, Payment Risk Analytics | N/A | N/A | Graduate | as per norms |
Dates to Consider:
BASIC QUALIFICATIONS
1+ years of experience in financial/business analysis
Experience with SQL or ETL
Experience defining requirements and using data and metrics to draw business insights
Knowledge & Skills/ Business Acumen/ Education & Experience
Basic qualifications
• Bachelor’s Degree in any quantitative discipline such as Statistics, Mathematics, Quantitative Finance, or Operational Research
• At least 2 or 3 years of experience working in an Analytics / Business Intelligence environment
• Experience in working with databases and SQL in a business environment
• Demonstrated use of analytical packages and query languages such as SQL, Python, R, or SAS
• Prior experience in the design and execution of analytical projects
• Worked extensively in large-scale databases and data warehouses
Preferred Qualifications
• Experience in e-commerce / on-line companies in fraud / risk control functions
• Analytical mindset and ability to see the big picture and influence others
• Experience with visualization technologies such as Tableau
• Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem
• Oral, written, and presentation skills combined with the ability to be part of group discussions and explain complex solutions
• Ability to apply analytical, computer, statistical, and quantitative problem-solving skills is required
• Ability to work effectively in a multi-task, high-volume environment
• Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
Apply Mode:
How To Apply:
Important Link | |
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Apply Online | Click Here |
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